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Staff Software Engineer, Cortex AI Search Infrastructure

Snowflake

Staff Software Engineer, Cortex AI Search Infrastructure is a still-open role at Snowflake on Jobrow. Location: Hybrid · US-CA-Menlo Park · Menlo Park · California · United States. Listed pay: $236k–$339k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$236k–$339k
Workplace
Hybrid
Location
US-CA-Menlo Park · Menlo Park · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

At Snowflake, we are powering the era of the agentic enterprise.

  • Function: Machine learning
  • Seniority: staff

Location & pay

Hybrid · US-CA-Menlo Park · Menlo Park · California · United States Listed pay on Jobrow: $236k–$339k.

Source

Jobrow reads the public Ashby board for Snowflake. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cortex team is building the future of AI for enterprise data. This role focuses on the Search infrastructure that powers our flagship products like CoWork, Cortex Code & Cortex Agents fast, reliable, scalable and secure at the enterprise level. You will be building high-performance retrieval engines (leveraging vector search, hybrid search, and semantic indexing) that power Snowflake Cortex. This involves optimizing how billions of rows of data are indexed and retrieved in milliseconds. WHAT YOU WILL DO IN THIS ROLE: - Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. - Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. - Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. - Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant microservices with strict guardrails and observability. - Optimize Performance & Cost: Direct the infra strategy for model routing, prompt caching, and token optimization to ensure Snowflake’s AI features are the most efficient in the industry. REQUIREMENTS: - Education: Bachelor’s degree in Computer Science or a related technical field. - Experience: 9 + years of experience building distributed systems, high-throughput APIs, or backend infrastructure for AI/ML pro

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